Raw milk of cattle — Import dependency ratio by country

The food and agricultural trade indicators dataset is based on trade, production and gross domestic product (GDP) data. Agri-food trade data are collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics (IMTS) Methodology. The data is mainly provided by UNSD,...

Countries reporting
110
Highest
1
China, Hong Kong SAR
Lowest
-1.05
Luxembourg
Median
0.01
Years covered
15
2010–2024
Data points
1,691

What the numbers show

Raw milk of cattle — Import dependency ratio is currently reported for 110 countries. The highest value is 1 in China, Hong Kong SAR; the lowest is -1.05 in Luxembourg.

The median across all reporting countries is 0.01, and the mean is 0.0937.

Over the past decade 41 countries rose and 29 fell. The largest increase was in Namibia (up 700.0%), and the largest decrease in Poland (down 400.0%).

Raw milk of cattle — Import dependency ratio: full country ranking

#Country LatestYear 10-year changeTrend
1 China, Hong Kong SAR 1 2024 unchanged flat
1 Cabo Verde 0.68 2023 down 8.1% flat
1 Democratic Republic of the Congo 0.12 2023 down 25.0% falling
1 Republic of Moldova 0.12 2024 up 500.0% volatile
2 Brunei Darussalam 0.96 2022 down 2.0% flat
2 Côte d'Ivoire 0.02 2024 down 33.3% volatile
3 New Caledonia 0.91 2015 unchanged flat
3 Viet Nam 0.02 2023 up 100.0% flat
4 French Polynesia 0.86 2016 up 3.6% rising
4 Bolivia (Plurinational State of) 0 2024 up 100.0% volatile
5 Philippines 0.79 2024 up 16.2% rising
6 Trinidad and Tobago 0.7 2024 up 20.7% rising
7 Mozambique 0.67 2024 down 15.2% rising
8 Bahrain 0.64 2023 down 78.5% volatile
9 Mauritius 0.55 2024 up 139.1% rising
10 Botswana 0.51 2023 up 96.2% rising
11 Samoa 0.45 2024 down 31.8% falling
12 Saint Lucia 0.43 2020 down 8.5% falling
13 Cambodia 0.42 2024 up 281.8% volatile
14 Qatar 0.37 2023 down 28.8% flat
15 Congo 0.33 2021 up 3.1% rising
15 Malaysia 0.33 2024 up 106.2% volatile
17 Antigua and Barbuda 0.31 2024 up 24.0% rising
17 Croatia 0.31 2024 up 121.4% rising
19 United Arab Emirates 0.22 2023 down 62.1% volatile
19 Fiji 0.22 2024 up 15.8% falling
19 Lithuania 0.22 2024 up 69.2% rising
22 Montenegro 0.15 2024 up 50.0% rising
23 Greece 0.13 2024 up 18.2% falling
24 Barbados 0.12 2024 up 166.7% volatile
25 Bulgaria 0.11 2024 up 450.0% volatile
26 China, Taiwan Province of 0.1 2024 up 66.7% rising
27 Malta 0.09 2024 unchanged rising
27 Togo 0.09 2023 up 80.0% rising
29 North Macedonia 0.08 2024 up 166.7% rising
29 Namibia 0.08 2024 up 700.0% volatile
29 Oman 0.08 2023 down 77.1% falling
32 Ghana 0.07 2023 up 16.7% rising
32 Gambia 0.07 2024 down 41.7% volatile
34 Guatemala 0.06 2024 unchanged rising
34 Ireland 0.06 2024 down 14.3% rising
34 Italy 0.06 2024 down 53.8% falling
37 Germany 0.04 2024 up 500.0% volatile
37 Dominican Republic 0.04 2024 up 100.0% volatile
37 Romania 0.04 2024 up 100.0% rising
37 El Salvador 0.04 2023 up 300.0% volatile
41 Cyprus 0.03 2024 unchanged rising
41 Guyana 0.03 2024 up 50.0% rising
41 Republic of Korea 0.03 2024 — volatile
41 Netherlands (Kingdom of the) 0.03 2024 — volatile
45 Jordan 0.02 2022 up 100.0% volatile
45 Kenya 0.02 2023 — volatile
45 Senegal 0.02 2024 down 33.3% falling
48 Angola 0.01 2024 down 91.7% falling
48 Albania 0.01 2016 unchanged flat
48 Benin 0.01 2024 — rising
48 Canada 0.01 2024 unchanged volatile
48 Switzerland 0.01 2024 — volatile
48 Cameroon 0.01 2020 unchanged flat
48 Spain 0.01 2024 down 66.7% volatile
48 Georgia 0.01 2020 — volatile
48 Kazakhstan 0.01 2024 unchanged volatile
48 Lebanon 0.01 2024 unchanged volatile
48 Malawi 0.01 2024 unchanged falling
48 Panama 0.01 2020 unchanged volatile
48 Palestine 0.01 2023 down 94.1% volatile
48 Yemen 0.01 2019 — volatile
48 China, mainland 0.01 2024 unchanged volatile
63 Belgium 0 2024 down 100.0% volatile
63 Finland 0 2024 — volatile
63 Kyrgyzstan 0 2024 up 100.0% volatile
63 Lesotho 0 2023 down 100.0% volatile
63 Morocco 0 2023 — volatile
63 Mexico 0 2024 — volatile
63 Nicaragua 0 2023 up 100.0% volatile
63 Nepal 0 2019 — volatile
63 Peru 0 2024 — volatile
63 Serbia 0 2024 — volatile
63 Uruguay 0 2023 up 100.0% volatile
63 Zambia 0 2024 — volatile
63 Zimbabwe 0 2024 down 100.0% volatile
63 Russian Federation 0 2021 — volatile
99 Honduras -0.01 2024 unchanged volatile
99 Indonesia -0.01 2024 up 50.0% volatile
99 Jamaica -0.01 2023 — volatile
99 New Zealand -0.01 2024 — volatile
99 Rwanda -0.01 2022 — volatile
99 Saudi Arabia -0.01 2024 up 83.3% volatile
99 Sweden -0.01 2024 — volatile
99 South Africa -0.01 2024 unchanged falling
107 Australia -0.02 2024 down 100.0% falling
107 Costa Rica -0.02 2024 up 33.3% flat
107 France -0.02 2024 unchanged rising
107 Uganda -0.02 2024 — volatile
111 Belarus -0.03 2021 unchanged flat
111 United Kingdom of Great Britain and Northern Ireland -0.03 2024 unchanged falling
113 Denmark -0.04 2024 unchanged falling
113 Portugal -0.04 2024 up 42.9% rising
115 Poland -0.05 2024 down 400.0% volatile
116 Bosnia and Herzegovina -0.06 2024 unchanged falling
117 Thailand -0.07 2024 down 250.0% volatile
118 Slovakia -0.09 2024 up 25.0% rising
119 Austria -0.12 2024 up 29.4% rising
120 Estonia -0.19 2024 up 38.7% falling
120 Hungary -0.19 2024 down 11.8% falling
120 Kuwait -0.19 2023 up 93.9% volatile
123 Czechia -0.34 2024 down 13.3% falling
124 Latvia -0.38 2024 down 31.0% falling
125 Slovenia -0.66 2024 down 22.2% falling
126 Luxembourg -1.05 2024 down 54.4% falling

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Raw milk of cattle — Import dependency ratio by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 06 October 2026, from https://agriculture.statizoid.com/stat/raw-milk-of-cattle-import-dependency-ratio/

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About this data

Indicator
Raw milk of cattle — Import dependency ratio
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
135 places, 1,691 data points, 2010–2024
Last refreshed

The food and agricultural trade indicators dataset is based on trade, production and gross domestic product (GDP) data. Agri-food trade data are collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics (IMTS) Methodology. The data is mainly provided by UNSD, Eurostat, and other national authorities as needed. The source data is checked for outliers, trade partner data is used for non-reporting countries or missing cells, and data on food aid is added to take total cross-border trade flows into account. The trade database includes the following variables: export quantity, export value, import quantity, and import value. It includes all food and agricultural products imported/exported annually by all countries in the world. Production data details are available at https://www.fao.org/faostat/en/#data/QCL and GDP data details are available at https://www.fao.org/faostat/en/#data/MK